Divisive normalization processors in the early visual system of the Drosophila brain
Biol Cybern. 2023 Sep 13. doi: 10.1007/s00422-023-00972-x. Online ahead of print.ABSTRACTDivisive normalization is a model of canonical computation of brain circuits. We demonstrate that two cascaded divisive normalization processors (DNPs), carrying out intensity/contrast gain control and elementary motion detection, respectively, can model the robust motion detection realized by the early visual system of the fruit fly. We first introduce a model of elementary motion detection and rewrite its underlying phase-based motion detection algorithm as a feedforward divisive normalization processor. We then cascade the DNP model...
Source: Biological Cybernetics - September 13, 2023 Category: Science Authors: Aurel A Lazar Yiyin Zhou Source Type: research
Divisive normalization processors in the early visual system of the Drosophila brain
Biol Cybern. 2023 Sep 13. doi: 10.1007/s00422-023-00972-x. Online ahead of print.ABSTRACTDivisive normalization is a model of canonical computation of brain circuits. We demonstrate that two cascaded divisive normalization processors (DNPs), carrying out intensity/contrast gain control and elementary motion detection, respectively, can model the robust motion detection realized by the early visual system of the fruit fly. We first introduce a model of elementary motion detection and rewrite its underlying phase-based motion detection algorithm as a feedforward divisive normalization processor. We then cascade the DNP model...
Source: Biological Cybernetics - September 13, 2023 Category: Science Authors: Aurel A Lazar Yiyin Zhou Source Type: research
Divisive normalization processors in the early visual system of the Drosophila brain
Biol Cybern. 2023 Sep 13. doi: 10.1007/s00422-023-00972-x. Online ahead of print.ABSTRACTDivisive normalization is a model of canonical computation of brain circuits. We demonstrate that two cascaded divisive normalization processors (DNPs), carrying out intensity/contrast gain control and elementary motion detection, respectively, can model the robust motion detection realized by the early visual system of the fruit fly. We first introduce a model of elementary motion detection and rewrite its underlying phase-based motion detection algorithm as a feedforward divisive normalization processor. We then cascade the DNP model...
Source: Biological Cybernetics - September 13, 2023 Category: Science Authors: Aurel A Lazar Yiyin Zhou Source Type: research
Learning heterogeneous delays in a layer of spiking neurons for fast motion detection
In conclusion, by providing a comprehensive, event-driven computational building block, the incorporation of heterogeneous delays has the potential to greatly improve the performance of future spiking neural network algorithms, particularly in the context of neuromorphic chips.PMID:37695359 | DOI:10.1007/s00422-023-00975-8 (Source: Biological Cybernetics)
Source: Biological Cybernetics - September 11, 2023 Category: Science Authors: Antoine Grimaldi Laurent U Perrinet Source Type: research
Learning heterogeneous delays in a layer of spiking neurons for fast motion detection
In conclusion, by providing a comprehensive, event-driven computational building block, the incorporation of heterogeneous delays has the potential to greatly improve the performance of future spiking neural network algorithms, particularly in the context of neuromorphic chips.PMID:37695359 | DOI:10.1007/s00422-023-00975-8 (Source: Biological Cybernetics)
Source: Biological Cybernetics - September 11, 2023 Category: Science Authors: Antoine Grimaldi Laurent U Perrinet Source Type: research
A Fundamental Inequality Governing the Rate Coding Response of Sensory Neurons
Biol Cybern. 2023 Aug 19. doi: 10.1007/s00422-023-00971-y. Online ahead of print.ABSTRACTA fundamental inequality governing the spike activity of peripheral neurons is derived and tested against auditory data. This inequality states that the steady-state firing rate must lie between the arithmetic and geometric means of the spontaneous and peak activities during adaptation. Implications towards the development of auditory mechanistic models are explored.PMID:37597017 | DOI:10.1007/s00422-023-00971-y (Source: Biological Cybernetics)
Source: Biological Cybernetics - August 19, 2023 Category: Science Authors: Willy Wong Source Type: research
A Fundamental Inequality Governing the Rate Coding Response of Sensory Neurons
Biol Cybern. 2023 Aug 19. doi: 10.1007/s00422-023-00971-y. Online ahead of print.ABSTRACTA fundamental inequality governing the spike activity of peripheral neurons is derived and tested against auditory data. This inequality states that the steady-state firing rate must lie between the arithmetic and geometric means of the spontaneous and peak activities during adaptation. Implications towards the development of auditory mechanistic models are explored.PMID:37597017 | DOI:10.1007/s00422-023-00971-y (Source: Biological Cybernetics)
Source: Biological Cybernetics - August 19, 2023 Category: Science Authors: Willy Wong Source Type: research
A Fundamental Inequality Governing the Rate Coding Response of Sensory Neurons
Biol Cybern. 2023 Aug 19. doi: 10.1007/s00422-023-00971-y. Online ahead of print.ABSTRACTA fundamental inequality governing the spike activity of peripheral neurons is derived and tested against auditory data. This inequality states that the steady-state firing rate must lie between the arithmetic and geometric means of the spontaneous and peak activities during adaptation. Implications towards the development of auditory mechanistic models are explored.PMID:37597017 | DOI:10.1007/s00422-023-00971-y (Source: Biological Cybernetics)
Source: Biological Cybernetics - August 19, 2023 Category: Science Authors: Willy Wong Source Type: research
A Fundamental Inequality Governing the Rate Coding Response of Sensory Neurons
Biol Cybern. 2023 Aug 19. doi: 10.1007/s00422-023-00971-y. Online ahead of print.ABSTRACTA fundamental inequality governing the spike activity of peripheral neurons is derived and tested against auditory data. This inequality states that the steady-state firing rate must lie between the arithmetic and geometric means of the spontaneous and peak activities during adaptation. Implications towards the development of auditory mechanistic models are explored.PMID:37597017 | DOI:10.1007/s00422-023-00971-y (Source: Biological Cybernetics)
Source: Biological Cybernetics - August 19, 2023 Category: Science Authors: Willy Wong Source Type: research
A Fundamental Inequality Governing the Rate Coding Response of Sensory Neurons
Biol Cybern. 2023 Aug 19. doi: 10.1007/s00422-023-00971-y. Online ahead of print.ABSTRACTA fundamental inequality governing the spike activity of peripheral neurons is derived and tested against auditory data. This inequality states that the steady-state firing rate must lie between the arithmetic and geometric means of the spontaneous and peak activities during adaptation. Implications towards the development of auditory mechanistic models are explored.PMID:37597017 | DOI:10.1007/s00422-023-00971-y (Source: Biological Cybernetics)
Source: Biological Cybernetics - August 19, 2023 Category: Science Authors: Willy Wong Source Type: research
A Fundamental Inequality Governing the Rate Coding Response of Sensory Neurons
Biol Cybern. 2023 Aug 19. doi: 10.1007/s00422-023-00971-y. Online ahead of print.ABSTRACTA fundamental inequality governing the spike activity of peripheral neurons is derived and tested against auditory data. This inequality states that the steady-state firing rate must lie between the arithmetic and geometric means of the spontaneous and peak activities during adaptation. Implications towards the development of auditory mechanistic models are explored.PMID:37597017 | DOI:10.1007/s00422-023-00971-y (Source: Biological Cybernetics)
Source: Biological Cybernetics - August 19, 2023 Category: Science Authors: Willy Wong Source Type: research
A Fundamental Inequality Governing the Rate Coding Response of Sensory Neurons
Biol Cybern. 2023 Aug 19. doi: 10.1007/s00422-023-00971-y. Online ahead of print.ABSTRACTA fundamental inequality governing the spike activity of peripheral neurons is derived and tested against auditory data. This inequality states that the steady-state firing rate must lie between the arithmetic and geometric means of the spontaneous and peak activities during adaptation. Implications towards the development of auditory mechanistic models are explored.PMID:37597017 | DOI:10.1007/s00422-023-00971-y (Source: Biological Cybernetics)
Source: Biological Cybernetics - August 19, 2023 Category: Science Authors: Willy Wong Source Type: research
A Fundamental Inequality Governing the Rate Coding Response of Sensory Neurons
Biol Cybern. 2023 Aug 19. doi: 10.1007/s00422-023-00971-y. Online ahead of print.ABSTRACTA fundamental inequality governing the spike activity of peripheral neurons is derived and tested against auditory data. This inequality states that the steady-state firing rate must lie between the arithmetic and geometric means of the spontaneous and peak activities during adaptation. Implications towards the development of auditory mechanistic models are explored.PMID:37597017 | DOI:10.1007/s00422-023-00971-y (Source: Biological Cybernetics)
Source: Biological Cybernetics - August 19, 2023 Category: Science Authors: Willy Wong Source Type: research
A Fundamental Inequality Governing the Rate Coding Response of Sensory Neurons
Biol Cybern. 2023 Aug 19. doi: 10.1007/s00422-023-00971-y. Online ahead of print.ABSTRACTA fundamental inequality governing the spike activity of peripheral neurons is derived and tested against auditory data. This inequality states that the steady-state firing rate must lie between the arithmetic and geometric means of the spontaneous and peak activities during adaptation. Implications towards the development of auditory mechanistic models are explored.PMID:37597017 | DOI:10.1007/s00422-023-00971-y (Source: Biological Cybernetics)
Source: Biological Cybernetics - August 19, 2023 Category: Science Authors: Willy Wong Source Type: research
A Fundamental Inequality Governing the Rate Coding Response of Sensory Neurons
Biol Cybern. 2023 Aug 19. doi: 10.1007/s00422-023-00971-y. Online ahead of print.ABSTRACTA fundamental inequality governing the spike activity of peripheral neurons is derived and tested against auditory data. This inequality states that the steady-state firing rate must lie between the arithmetic and geometric means of the spontaneous and peak activities during adaptation. Implications towards the development of auditory mechanistic models are explored.PMID:37597017 | DOI:10.1007/s00422-023-00971-y (Source: Biological Cybernetics)
Source: Biological Cybernetics - August 19, 2023 Category: Science Authors: Willy Wong Source Type: research
